ZINC-OXIDE THIN-FILM CHEMICAL SENSORS IN CONJUNCTION WITH NEURAL-NETWORK PATTERN-RECOGNITION FOR TRIMETHYLAMINE AND DIMETHYLAMINE GASES

被引：36

作者：

NANTO, H

TSUBAKINO, S

KAWAI, T

IKEDA, M

KITAGAWA, S

HABARA, M

机构：

[1] Electron Device System Research Laboratory, Kanazawa Institute of Technology, Ishikawa, 921, 7-1 Oogigaoka, Nonoichi-machi

来源：

JOURNAL OF MATERIALS SCIENCE | 1994年 / 29卷 / 24期

关键词：

D O I：

10.1007/BF00354016

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Transient response curves for exposure to several gases are observed using zinc oxide (ZnO) thin-film gas sensors. It is found that an aluminium-doped ZnO (ZnO:Al) sensor exhibits a high sensitivity and an excellent selectivity for amine gases. In order to discriminate between gas species such as trimethylamine (TMA), dimethylamine (DMA) and other gases pattern recognition analysis using a neural network is carried out using parameters which characterize the transient responses of the sensor for exposure to gases. The recognition probability of the neural network is 90% for TMA and DMA with constant concentration and is 100% for TMA and DMA with different concentrations, except for a concentration of 1 p.p.m.

引用

页码：6529 / 6532

页数：4